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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 4-RES-JB
    11. 16304
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    Explanations

    combinations or mixtures

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "blend" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    resy
    -0.80
    selves
    -0.76
    pter
    -0.69
    der
    -0.64
    ockets
    -0.63
    taining
    -0.61
    mic
    -0.61
    MN
    -0.61
    ptoms
    -0.61
    utherford
    -0.61
    POSITIVE LOGITS
     blend
    1.02
     blends
    1.01
     blending
    0.96
    endor
    0.79
     seamlessly
    0.79
    wana
    0.77
     Blend
    0.74
    halla
    0.72
     Flavoring
    0.72
     fuzz
    0.72
    Activations Density 0.007%

    No Known Activations